气候变化领域集成服务门户(CCPortal): Can the Multiscale Modeling Framework (MMF) Simulate the MCS-Associated Precipitation Over the Central United States?

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DOI	10.1029/2019MS001849
	Can the Multiscale Modeling Framework (MMF) Simulate the MCS-Associated Precipitation Over the Central United States?
	Lin G.; Fan J.; Feng Z.; Gustafson W.I.; Jr.; Ma P.-L.; Zhang K.
发表日期	2019
ISSN	19422466
起始页码	4669
结束页码	4686
卷号	11 期号:12
英文摘要	Mesoscale convective systems (MCSs) are a major source of precipitation in many regions of the world. Traditional global climate models (GCMs) do not have adequate parameterizations to represent MCSs. In contrast, the Multiscalex Modeling Framework (MMF), which explicitly resolves convection within the cloud-resolving model embedded in each GCM column, has been shown to be a promising tool for simulating MCSs, particularly over the Tropics. In this work, we use ground-based radar-observed precipitation, North American Regional Reanalysis data, and a high-resolution Weather Research and Forecasting simulation to evaluate in detail the MCS-associated precipitation over the central United States predicted by a prototype MMF simulation that has a 2° host-GCM grid. We show that the prototype MMF with nudged winds fails to capture the convective initiation in three out of four major MCS events during May 201x1 and underpredicts the precipitation rates for the remaining event, because the model cannot resolve the mesoscale drylines/fronts that are important drivers for initiating convection over the Southern Great Plains region. By reducing the host-GCM grid spacing to 0.25° in the MMF and nudging the winds, the simulation is able to better capture the mesoscale dynamics, which drastically improves the model performance. We also show that the MMF model performs better than the traditional GCM in capturing the precipitation intensity. Our results suggest that increasing resolution plays a dominant role in improving the simulation of precipitation in the MMF, and the cloud-resolving model embedded in each GCM column further helps to boost precipitation rate. ©2019. The Authors.
语种	英语
scopus关键词	Climate models; Storms; Weather forecasting; Cloud resolving model; Convective initiation; Global climate model; Mesoscale Convective System; Multi-scale Modeling; Precipitation intensity; Southern great plains; Weather research and forecasting; Precipitation (meteorology); atmospheric convection; climate modeling; environmental modeling; global climate; mesoscale meteorology; parameterization; precipitation (climatology); precipitation intensity; simulation; weather forecasting; Great Plains
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156787
作者单位	Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States
推荐引用方式 GB/T 7714	Lin G.,Fan J.,Feng Z.,et al. Can the Multiscale Modeling Framework (MMF) Simulate the MCS-Associated Precipitation Over the Central United States?[J],2019,11(12).
APA	Lin G..,Fan J..,Feng Z..,Gustafson W.I..,Jr..,...&Zhang K..(2019).Can the Multiscale Modeling Framework (MMF) Simulate the MCS-Associated Precipitation Over the Central United States?.Journal of Advances in Modeling Earth Systems,11(12).
MLA	Lin G.,et al."Can the Multiscale Modeling Framework (MMF) Simulate the MCS-Associated Precipitation Over the Central United States?".Journal of Advances in Modeling Earth Systems 11.12(2019).